api engineer

Zoolatech

<div><div><div><div><div><div><div><div>OVERVIEW</div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div>ATRC's Data &amp; AI Office is a product and platform execution team &mdash; not a traditional enterprise data function. We build and operate AI-enabled systems that create measurable operational impact across the organization. Our primary output is working software in production.
What we are building &mdash; now:<ul><li>
An executive reporting portal serving senior leadership, integrating live data from SAP, Microsoft 365, SuccessFactors, and internal systems across multiple operational views (finance &amp; budget, KPIs, technology portfolio, news, wellbeing, and a personalized executive home)</li><li>
A sovereign data and AI platform: data warehouse, governed pipelines, metadata catalog, and classification enforcement across all entities</li><li>
Data mesh architecture with federated ownership &mdash; each entity owns its data products; the platform provides governed access</li><li>
Data readiness for the organization's agentic AI platform &mdash; clean, structured, governed data so AI agents can operate on trusted sources</li><li>
Operational AI agents delivering real value on top of the agentic platform (document triage, anomaly detection, automated briefings, classification automation)</li><li>
AI-enabled situational awareness and crisis management systems</li><li>
Data governance and classification &mdash; managing an active external vendor engagement, bridging framework deliverables into platform-enforced rules, and building the ongoing
governance operations the organization requires</li></ul>
How we work:<ul><li>
Small team, high ownership &mdash; every engineer owns a module end-to-end</li><li>
Two-week sprints with demonstrated output at every review</li><li>
Ship and improve &mdash; working systems beat perfect designs</li><li>
Core team owns all architecture and product decisions; external capacity executes within defined scope</li><li>
Decisions take hours, not weeks. Daily technical choices are made by the engineer.</li><li>
Feature scope decisions take 24 hours. Architecture pivots take 48 hours. Nothing sits in limbo.</li><li>
Oversee 5 other workstreams powered by 3rd party vendors within the ecosystem but whom we are ultimately accountable for</li></ul>
</div><div>Owns the API architecture &mdash; every dashboard panel, every workflow, every integration runs through what you design.
Mission
You are the senior backend engineer and the architect of the API layer that all frontends, agents, and integrations depend on. You design the API contracts, the authentication flow, the workflow state machines, and the integration patterns. You build the core services yourself. Near-term: the FastAPI service powering the executive portal &mdash; all endpoints for budget data, KPIs, approvals, action tracking, and role-based access. Medium-term: the API backbone for crisis management systems, agent service endpoints, communications dispatch, and enterprise system integration contracts.
What This Role Owns<ul><li>
API architecture: endpoint design, request/response contracts, versioning strategy, error standardization, OpenAPI spec generation</li><li>
Authentication and authorization: Azure AD SSO, MFA enforcement, role-based access control (executive read-only, operational read/write, admin)</li><li>
Workflow state machines: approval flows, posture transitions, action tracking &mdash; with immutable audit logging at every transition</li><li>
Session management: Redis-backed sessions, token refresh, expiry handling</li><li>
Integration design: patterns for connecting to enterprise systems at the application layer</li><li>
Agent service endpoints: backend services that AI agents call &mdash; tool endpoints, data retrieval, action execution</li><li>
Communications integration: email dispatch, messaging APIs, notification services</li><li>
Test coverage: unit tests, integration tests, and contract tests across all API endpoints</li></ul>
Key Decisions<ul><li>
API contract &mdash; endpoint naming, schemas, HTTP status codes, error format</li><li>
Authentication flow &mdash; token lifecycle, MFA enforcement points, role hierarchy</li><li>
Workflow state transitions &mdash; what is permitted, logged, irreversible</li><li>
Rate limiting, throttling, and idempotency design</li><li>
Technology choices within the approved backend stack</li></ul>
Does Not Do<ul><li>
Build or manage data ingestion pipelines (Data Platform Engineers)</li><li>
Write AI prompts or call LLM APIs directly (AI Engineer)</li><li>
Build frontend components (Full Stack Engineer)</li><li>
Define the database schema (Principal Data Architect)</li><li>
Define governance policies (Governance Lead)</li></ul>
Ideal Candidate
Has designed and built a multi-role, authenticated REST API consumed by a frontend team that understood it the next morning without a walkthrough. Owns the API contract as a product &mdash; clear naming, consistent errors, auto-generated docs. Thinks carefully about state: no unlogged transitions, no silent failures, no ambiguous 200 responses. Fast &mdash; can scaffold a working FastAPI service with auth, DB, and Redis in a day.
</div><div><ul><li>10+ years of experience with Python 3.10+ - type hints, async/await, exception handling</li><li>
FastAPI &mdash; async handlers, dependency injection, Pydantic models, middleware</li><li>
PostgreSQL &mdash; ORM (SQLAlchemy), raw query optimization, transaction management</li><li>
Azure AD &mdash; OAuth 2.0, JWT validation, MSAL, RBAC</li><li>
Redis &mdash; session store, distributed lock patterns, caching</li><li>
REST API design &mdash; versioning, error standardization, OpenAPI spec generation</li><li>
Docker + Azure App Service deployment</li><li>
GitHub Actions CI/CD</li><li>
pytest &mdash; unit and integration test coverage</li><li>
State machine design for multi-step workflows</li></ul>
</div></div></div><div><div><div><div>Location:
<div>Istanbul, Turkey
</div></div><div>Seniority:
<div>Senior
</div></div><div>Technologies:
<div>Python
</div></div></div></div><div><div>Benefits:
<ul><li>Paid Vacation
</li><li>Hybrid Work (home/office)
</li><li>Sick Days
</li><li>Sport/Insurance Compensation
</li><li>Holidays Day Off
</li><li>English Classes
</li><li>Training Compensation
</li><li>Transportation compensation</li></ul></div></div></div></div></div></div>

Backend / Systems Engineer

OpenAI

<div>
 
 About The Team
 
 
 
 Our team brings OpenAI&rsquo;s most capable technology to the world through our developer platform: the OpenAI API. As the leading AI development platform, our API is used by millions of developers and the majority of enterprises around the world, and powers the majority of AI applications that you may use on a daily basis. Most recently, we&rsquo;ve released gpt-5, gpt-realtime, Responses API, Agents SDK, and many other products and features.
 
 
 
 About The Role
 
 
 
 We are looking for a software engineer to own the design of our APIs. Our API
 
 is
 
 our product, and as such we treat its design and development with care and intentionality. Every endpoint, every field name, and every enum value is a product interface that we want to design well. We are looking for engineers who not only love building APIs, but who will also sweat the details around API design and have a discerning taste for well designed API experience. You will play a major role in shaping the future roadmap of the OpenAI API &ndash; by both building and designing it.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Design and build products that we launch in API &ndash; extending existing endpoints, adding new endpoints, or rethinking our entire API suite.
 </li>
 <li>
 Play a major role in our API Review process &ndash; working with all other teams to ensure our APIs meet our design standard.
 </li>
 <li>
 Collaborate closely with the rest of the API team, our Developer Experience team, and our GTM team to make our APIs the best in the world.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Appreciate taste in API design &ndash; you believe there are well designed APIs and poorly designed APIs
 </li>
 <li>
 Can thrive and operate independently in a fast-paced environment with ambiguous requirements and goals
 </li>
 <li>
 Love building for other developers, and thrive on feedback from opinionated users
 </li>
 <li>
 Are an engineer at heart, but are willing to lean into product decisions.
 </li>
 <li>
 Think of APIs as ladders.
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
</div>

Backend Software Engineer, API Platform

HCA Healthcare

<div><h5 class="jobSectionHeader">This is OUR story... and YOUR next chapter</h5>
At HCA Healthcare, our Digital Transformation and Innovation (DT&amp;I) team is redefining what&rsquo;s possible inpatient care. By leveraging the power of artificial intelligence, automation, and digital technologies, DT&amp;I is helping drive meaningful improvements in clinical outcomes, reduce manual workload, and expand the reach of our care teams. If you're passionate about using technology to improve human life, this is where your work truly matters<h5 class="jobSectionHeader">
What you will accomplish in this role</h5>
Job Summary
The Staff Data Engineer - API serves as a primary development resource for design, writing code, test, implementation, document functionality, and maintain of NextGen solutions for the GCP Cloud enterprise data initiatives. The role requires working closely with data teams, frequently in a matrixed environment as part of a broader project team. This role requires &lsquo;self-starters&rsquo; who are proficient in problem solving and capable of bringing clarity to complex situations. The culture of the organization places an emphasis on teamwork, so social and interpersonal skills are equally important as technical capability. Due to the emerging and fast-evolving nature of GCP technology and practice, the position requires that one stay well-informed of technological advancements and be proficient at putting new innovations into effective practice.
In addition, this candidate will have a history of increasing responsibility in a small multi-role team. This position requires a candidate who can analyze business requirements, perform design tasks, construct, test, and implement solutions with minimal supervision. This candidate will have a record of accomplishment of participation in successful projects in a fast-paced, mixed team (consultant and employee) environment. In addition, the applicant must be willing to mentor other developers to prepare them for assuming the responsibilities.
As a Staff Data Engineer, you will collaborate closely with all team members to create a modular, scalable solution that addresses current needs, but will also serve as a foundation for future success. The position will be critical in building the team&rsquo;s API engineering practices in test driven development, continuous integration, and automated deployment and is a hands-on team member who actively coaches the team to solve complex problems. 
What you will do:
The Staff Data Engineer - API serves as a primary development resource for design, writing code, test, implementation, document functionality, and maintain of NextGen solutions for the GCP Cloud enterprise data initiatives. The role requires working closely with data teams, frequently in a matrixed environment as part of a broader project team. This role requires &lsquo;self-starters&rsquo; who are proficient in problem solving and capable of bringing clarity to complex situations. The culture of the organization places an emphasis on teamwork, so social and interpersonal skills are equally important as technical capability. Due to the emerging and fast-evolving nature of GCP technology and practice, the position requires that one stay well-informed of technological advancements and be proficient at putting new innovations into effective practice.
In addition, this candidate will have a history of increasing responsibility in a small multi-role team. This position requires a candidate who can analyze business requirements, perform design tasks, construct, test, and implement solutions with minimal supervision. This candidate will have a record of accomplishment of participation in successful projects in a fast-paced, mixed team (consultant and employee) environment. In addition, the applicant must be willing to mentor other developers to prepare them for assuming the responsibilities.
As a Staff Data Engineer, you will collaborate closely with all team members to create a modular, scalable solution that addresses current needs, but will also serve as a foundation for future success. The position will be critical in building the team&rsquo;s API engineering practices in test driven development, continuous integration, and automated deployment and is a hands-on team member who actively coaches the team to solve complex problems.
At HCA DT&amp;I, your deliverables will influence patient care. Every process, technology, and decision matters. This role will provide application development for specific business environments. Focus on setting technical direction on groups of applications and similar technologies as well as taking responsibility for technically robust solutions encompassing all business, architecture, and technology constraints.
<ul><li>Work with data engineers, data architects, data scientists, and other internal stakeholders to understand product requirements and then design, build, and monitor data platforms and pipelines that meet today's requirements but can gracefully scale.</li><li>
Implement automated workflows that lower manual/operational costs, define and uphold SLAs for timely delivery of data, and move the company closer to democratizing data.</li><li>
Enable a self-service data architecture supporting query exploration, dashboards, data catalog, and rich data discovery.</li><li>
Promote a collaborative team environment that prioritizes effective communication, team member growth, and success of the team over success of the individual.</li><li>
Design and create APIs that accelerate the time from idea to insight.</li><li>
Adheres to and supports API best practices, processes, and standards.</li><li>
Produce high quality, modular, reusable code that incorporates best practices and serves as an example for less experienced engineers.</li><li>
Helps promote and support data security best practices that align with industry standards and regulatory and legal requirements.</li><li>
Help mentor team members on complex data projects and following the Agile process.</li><li>
Help lead data analysis efforts and solution proposals to data related and data architecture problems.</li><li>
Help lead implementation of unit and integration tests and promote and conduct performance testing where appropriate.</li><li>
Be a leader in the HCA data community. Evangelize data engineering best practices and standards, participate, or present at community events, and encourage the continual growth and development of others.</li><li>
Be curious. Be growth minded. Encourage and enable this in others.</li><li>
Demonstrate professional and personal maturity through self-leadership.</li><li>
Build productive and healthy relationships within the department and other teams to foster growth of our culture, our people, and our platforms.</li><li>
Practices and adheres to the &ldquo;Code of Conduct&rdquo; philosophy and &ldquo;Mission and Value Statement.&rdquo;</li><li>
Perform other duties as assigned.</li><li>
Responsible for building and supporting a GCP based ecosystem designed for enterprise-wide analysis of structured, semi-structured, and unstructured data.
</li><li>Work independently, and complete tasks on-schedule by exercising strong judgment and problem-solving skills.</li><li>
Analyze requirements, design AI/ML based solutions, and integrate those solutions for customer environments.</li><li>
Proven experience effectively prioritizing workload to meet deadlines and work objectives.</li><li>
Works in an environment with rapidly changing business requirements and priorities</li><li>
Shares knowledge and experience to contribute to growth of overall team capabilities.</li>
Actively participate in technical group discussions and adopt any modern technologies to improve the development and operations. 
<li>
</li></ul> 
<h6 class="jobSectionHeader">What qualifications you will need:</h6>
A successful candidate will have:<ul><li>
Bachelor's degree in computer science, related technical field, or equivalent experience preferred</li><li>
Master's degree in computer science or related field preferred</li><li>
5+ years of experience in Data Engineer required</li><li>
1+ year(s) of experience in Healthcare preferred</li><li>
7+ years of experience in Information Technology required</li><li>
Strong understanding of best practices and standards for GCP or other cloud platform Data process design and implementation.</li><li>
2+ years hands-on experience with GCP platform and experience with many of the following components:</li></ul><ul><li>Postman, Dynatraceform</li><li>Cloud Run, GKE, Cloud Functions</li><li>Bigtable, Cloud SQL, Cloud Spanner</li><li>BigQuery,Cloud Function</li><li>Cloud Run, CI/CD, Cloud Logging</li><li>Vertex AI, NLP, GitHub</li></ul><ul><li>
4+ Years of hands-on experience with many of the following components:</li></ul><ul><li>APIs</li><li>Spark Streaming, Kafka</li></ul>
SQL, JSON,Avro, Parquet
Java, Python, or Scala
 Certifications (a plus, but not required):<ul><li>
GCP Cloud Professional Data Engineer</li></ul>
At HCA Healthcare, we are committed to fostering a culture of growth that allows you to build the career of a lifetime. We encourage you to apply for our Staff Data Engineer - APIs today. We review all applications promptly, and qualified candidates will be contacted to continue the process. Join us!
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</div>

Staff Data Engineer - APIs

FriendliAI

<div><h3 class="jobSectionHeader">About the Job</h3>
We believe using large language and multimodal models should be as simple as calling an API. To achieve this in production, we need to serve enterprises across clouds, with authentication, billing, multi-tenant isolation, and zero tolerance for downtime.
We are looking for a Senior Backend Engineer who is excited by the full breadth of what it takes to run a platform in production. You will own the business logic layer that sits between our inference engine and every customer who relies on it. Your work spans API engineering, service development, and data architecture. If you like solving problems that only reveal themselves in the wild, this is your role: edge cases in multi-cloud orchestration, enterprise requirements that don&rsquo;t fit neatly into a spec, performance bottlenecks that are hard to reproduce.
You will move across domains, make decisions under uncertainty, and build systems that work cleanly, reliably, and at scale. We are looking for people with a track record of owning complex systems in production and solving unique problems. A great candidate is a strong collaborator who enjoys solving complex architectural challenges, cares deeply about developer workflows, and is eager to help define the future of AI adoption.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Own the architecture and evolution of core backend microservices powering our AI inference platform, from the API layer through business logic to the data layer.</li><li>
Design and build production-grade APIs (REST, gRPC, GraphQL) that serve as the foundation for AI deployments, developer integrations, and enterprise workflows.</li><li>
Build and scale enterprise-grade platform capabilities: authentication, RBAC, billing, organization management, and secure multi-tenant SaaS infrastructure.</li><li>
Develop AI-specific platform features, including LLM deployment workflows and inference-specific service integrations.</li><li>
Design and optimize data models and pipelines across OLTP (PostgreSQL) and OLAP (ClickHouse) systems.</li><li>
Collaborate with infrastructure engineers on multi-cloud deployment and resource orchestration pipelines.</li><li>
Set reliability and performance standards for the services you own, resolving production issues with urgency and rigor</li><li>
Drive engineering quality through design reviews, automated testing, and CI/CD.</li></ul><h3 class="jobSectionHeader">
Qualifications</h3><ul><li>
5+ years of backend or systems engineering experience in production environments</li><li>
Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent.</li><li>
Expertise in Python and modern frameworks (e.g., FastAPI); should be able to write code others learn from.</li><li>
Strong experience designing and operating distributed systems at scale.</li><li>
Solid API design experience across REST, gRPC, and GraphQL.</li><li>
Proficiency in data modeling and SQL, with hands-on experience in PostgreSQL and OLAP systems such as ClickHouse.</li><li>
Working knowledge of LLM serving.</li><li>
Experience building secure, multi-tenant SaaS architectures: authentication, RBAC, and compliance requirements.</li><li>
Familiarity with cloud-native development and observability tooling (OpenTelemetry or equivalent).</li><li>
Strong systems thinking and ability to reason about failure modes.</li></ul><h3 class="jobSectionHeader">
Preferred Experience</h3><ul><li>
Hands-on experience with AI or model serving infrastructure.</li><li>
Experience with Kubernetes for production container orchestration and scaling.</li><li>
Background building developer-facing SDKs, CLIs, or internal engineering platforms.</li><li>
Exposure to multi-cloud environments and cross-cloud resource management.</li><li>
Experience leading incident response and postmortems for production systems.</li><li>
Basic familiarity with modern frontend frameworks (e.g., React/Next.js) for cross-functional collaboration.</li></ul><h3 class="jobSectionHeader">
Benefits</h3><ul><li>
Flexible working hours</li><li>
Daily lunch and dinner provided; unlimited snacks and beverages</li><li>
Supportive and highly collaborative work environment</li><li>
Health check-up support and top-tier equipment/hardware support</li><li>
A front-row seat to the generative AI infrastructure revolution</li><li>
Competitive compensation, startup equity, health insurance, and other benefits.</li></ul><h3 class="jobSectionHeader">
About FriendliAI</h3>
FriendliAI is building the world&rsquo;s best AI inference platform that makes large language and multi-modal models fast, efficient, and deployable at scale. We power high-throughput, low-latency AI workloads for organizations worldwide and integrate directly with Hugging Face, giving developers instant access to over 500,000 open-source models.
We are a small, fast-moving team doing work that matters at one of the most exciting moments in the history of technology. With our world-class inference engine, we are building a platform that the AI industry can actually rely on.</div>

Software Engineer – Senior Backend

Pylon

<div>About Pylon
America&rsquo;s $13T mortgage market is one of the most important financial systems in the world. It underwrites the middle class and is the mechanism through which millions of families build wealth. But while every other financial instrument has been simplified to an API call, mortgages are still assembled by hand.
We started from zero and created the first vertically integrated mortgage platform that turns origination into a single API.
Publicly traded companies and the country&rsquo;s largest originators are already building on Pylon. Revenue is compounding monthly. We&rsquo;re backed by Peter Thiel, Conversion Capital, QED, Citi, Fifth Wall, and the founders of Ramp, Blend, and Mercury.
Working at Pylon isn&rsquo;t for those seeking comfort. The people who thrive here have high agency, strong opinions, and a track record of delivering outcomes without direction. Many of us are former founders. We move quickly, challenge each other directly, and take full ownership of results. It&rsquo;s hard work, but it will be worth it.
Join us in building America&rsquo;s mortgage rails.<h2 class="jobSectionHeader">
The Team</h2>
We're looking for Back End Engineers to join our API team. We treat our GraphQL API as a product &mdash; because it is one. Multiple customers build directly on top of it, and the quality of their experience is determined by how well we design, document, and maintain it.
Mortgage is a surprisingly rich domain to model. It's path-dependent: the choices you make early in a loan constrain what's possible later. It's nonlinear: different borrower situations branch into wildly different flows. Most APIs in this space paper over that complexity. We're building one that embraces it &mdash; encoding the real shape of mortgage into a surface that's impossible to misuse and delightful to build against.<h2 class="jobSectionHeader">
Here Is What You'll Do</h2><ul><li>
Define what a mortgage is in code. Seriously. You'll work on semantic models that don't just represent mortgages as they exist today &mdash; they expand what a mortgage can be. This is product design at the API layer.</li><li>
Build toward an event-driven API. We're moving to a world where our API doesn't just respond to requests &mdash; it tells you what happened, why, and what you can do next. You'll help design and ship that future.</li><li>
Make the complex feel simple. Our API should make the mortgage process impossible to get wrong. That means thoughtful abstractions, clear documentation, and an obsessive focus on developer experience.</li><li>
Design for nonlinearity. Mortgage flows aren't linear wizards. Our future API encodes choice, branching, and path-dependence natively. You'll work on guided experiences that model real-world complexity without exposing it as chaos.</li><li>
Treat this as a product surface. You'll think about breaking changes, versioning, onboarding, and the full lifecycle of an API that real companies depend on.</li></ul><h2 class="jobSectionHeader">
Tech Stack</h2><ul><li>
TypeScript</li><li>
GraphQL (this is the product)</li><li>
NestJS</li><li>
SQL (PostgreSQL)</li><li>
Temporal.io (workflow orchestration)</li><li>
Event-driven architecture</li><li>
AI-driven development tooling and agentic infrastructure</li></ul><h2 class="jobSectionHeader">
Who Will Succeed Here</h2>
Someone who:<ul><li>
Is deeply curious</li><li>
Wants to won features from design to development to deployment to maintence</li><li>
Is willing to put the work in to solve the hardest of problems</li></ul>
Location: Palo Alto , CA Base Salary Range: $140,000/yr to $220,000/yr + Equity + Benefits
Compensation Range: $130K - $220K</div>

Backend Engineer, API

Thomson Reuters

Staff Software Engineer — Search Platform, API & Infrastructure

Stainless

<div>
 
 About Stainless
 
 
 
 Stainless is a fast-growing tech startup building the future of APIs. Our customers include industry leaders like OpenAI, Anthropic, and Cloudflare.
 
 
 We have raised over $35 million from a16z, Sequoia, and founders/C-levels from Stripe, Datadog, Segment, Linear, and more.
 
 
 We are headquartered in NYC, just west of SoHo, and are a team of ~60 strong expecting to double in the next ~9 to 12 months.
 
 
 
 
 Role
 
 
 
 
 Joining as a generalist engineer, you&rsquo;ll have a focus area, but we&rsquo;ll all be pitching in on every aspect of the company and acting with a high degree of ownership in a collegial, humble atmosphere.
 
 
 You'll build the core systems that form the foundation of the company for years, both scrappily getting things done wherever help is needed and thinking deeply on foundational architecture.
 
 
 
 
 Who you are
 
 
 
 
 <ul>
 <li>
 Experience level to build anything you can imagine, with great design and sound architecture.
 </li>
 <li>
 Built and/or maintained a popular open-source project.
 </li>
 <ul>
 <li>
 Alternatively, maintained internal abstractions used across an engineering org.
 </li>
 </ul>
 <li>
 Experience consuming APIs you didn&rsquo;t control, produced APIs you didn&rsquo;t consume, and been the sole consumer of an API you built and could iterate on.
 </li>
 <li>
 Location: onsite in our physical office location in Manhattan, New York.
 </li>
 </ul>
 <ul>
 <li>
 Experience both designing and stewarding APIs at scale, whether internal or external.
 </li>
 <li>
 Ability to build great abstractions that stand the test of time when used by other engineers of varying skill levels, beginner to formidable.
 </li>
 <li>
 A true passion for developer experience and empathy for developers from all backgrounds (junior, non-traditional etc).
 </li>
 <li>
 Quick learner, self-motivated, and able to execute quickly whilst maintaining high quality.
 </li>
 <li>
 Great product sense.
 </li>
 <li>
 Programming languages:
 </li>
 <ul>
 <li>
 Expertise with TypeScript, our language of choice.
 </li>
 <li>
 Broad polyglot interest/experience &ndash; comfort working across multiple programming languages.
 </li>
 </ul>
 <li>
 Bonus points:
 </li>
 <ul>
 <li>
 Have used GraphQL and appreciate its benefits and drawbacks.
 </li>
 <li>
 Experience / interest working with ASTs (eg, lint rules, rich codemods, compilers, etc).
 </li>
 <li>
 Experience and/or interest in writing blogs, speaking at conferences and engaging with developer communities.
 
 </li>
 </ul>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 We offer competitive salary and generous equity grants.
 </li>
 <li>
 Great healthcare coverage options (e.g., fully covered platinum plans).
 </li>
 <li>
 Paid commuter benefits &amp; similar.
 </li>
 <li>
 Paid team lunch/meals during workdays.
 </li>
 <li>
 Flexible PTO plus 3 weeks of company-wide vacation a year (2 weeks in December, 1 week at the end of the summer).
 </li>
 <li>
 Flexible WFH and 1 month fully remote per year ("remote February").
 
 
 </li>
 </ul>
 Compensation Range: $150K - $260K
 
 
</div>

Software Engineer, Generalist

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